Abstract
This work shows a system of intelligent control for a vibrating screen. The design is based in fuzzy logic. The set of rules was obtained by the method of group by means of the neighbor closest. The vibration of the screen (frequency and amplitude), the flow of material and the size of stones are the entrance variables. The variable of exit is the motor speed who controls the excitation force.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Ponce, E., Valdes, C., Cortes, R.: Development of a Vibrating Screen. FACING 11(2), 35–40 (2003)
Nemsic Instruments, http://www.parallax.com
Narendra, K.S., Mukhopadhyay, S.: Adaptive Control Using Neural Networks and Approximate Models. IEEE Transactions on Neural Networks 8, 475–485 (1997)
Soloway, D., Haley, P.J.: Neural Generalized Predictive Control. In: Proceedings of the 1996 IEEE International Symposium on Intelligent Control, pp. 277–281 (1996)
Basic Stamp Handbook, Parallax, http://www.rambal.cl
Hilera, J.M.: Redes Neuronales Artificiales. In: Ra-Ma, M. (ed.), 2nd edn., Spain (2002)
Dubois, D., Prade, H.: Fuzzy sets and systems, 3rd edn. Public Press, USA (2003)
Kosko, B.: Neural Networks and Fuzzy Systems, 4th edn. Prentice-Hall, Englewood Cliffs (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ponce, C., Ponce, E. (2005). Intelligent Learning Rules for Fuzzy Control of a Vibrating Screen. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_53
Download citation
DOI: https://doi.org/10.1007/11590316_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
eBook Packages: Computer ScienceComputer Science (R0)